keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Torch-cuda backend fails to recover after assertion failed
- Feature Extraction Losses
- Use Multi GPU(Mirrored Strategy) training with XLA and AMP(Mixed Precision)
- Rethink the conditional in the gradient accumulation
- Support custom cell/RNN layers with extension types
- Slower inference time when using grouped convolutions compared to regular convolutions
- Request for developer guide: multi-node TPU distributed training with JAX
- Bias Initializer for unbiased classification
- Embedding Projector using TensorBoard callback
- ops.image.affine_transform() does not work as a layer in GPU
- Docs
- Python not yet supported